{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4a2c16f1-e0e5-4186-b269-acb331cb7d07",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append('E:\\\\Workspace-Python\\\\story_moni\\\\venv\\\\Lib\\\\site-packages')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a882b01a-9239-4f48-979d-1218be3b59d2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Administrator\\AppData\\Local\\Temp\\ipykernel_6264\\3048887311.py:13: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "  ax.set_xticklabels(categories, rotation=45, ha='right')\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "categories = [f'Category {i}' for i in range(1, 21)]\n",
    "values = np.random.randint(1, 100, size=20)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(15, 8))\n",
    "bars = ax.bar(categories, values)\n",
    "\n",
    "ax.set_title('Bar Chart with Multi-column Legend - how2matplotlib.com')\n",
    "ax.set_xlabel('Categories')\n",
    "ax.set_ylabel('Values')\n",
    "ax.set_xticklabels(categories, rotation=45, ha='right')\n",
    "\n",
    "# 创建多列图例\n",
    "ncol = 4  # 设置列数\n",
    "ax.legend(bars, categories, loc='upper center', bbox_to_anchor=(0.5, -0.05),\n",
    "          fancybox=True, shadow=True, ncol=ncol)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e0540519-16c4-41aa-b4f7-3ce4d24ca4f3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['C:\\\\Users\\\\Administrator\\\\AppData\\\\Local\\\\Programs\\\\Python\\\\Python311', 'C:\\\\Users\\\\Administrator\\\\AppData\\\\Local\\\\Programs\\\\Python\\\\Python311\\\\Lib\\\\site-packages']\n"
     ]
    }
   ],
   "source": [
    "import site\n",
    "print(site.getsitepackages())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b1369b50-62a7-4bc5-83bc-25828921d604",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
